Connectionists: NEURAL NETWORKS, October 2023

[Wang, Deliang]

Neural Networks - Volume 167, October 2023
https://www.journals.elsevier.com/neural-networks


A multilayered bidirectional associative memory model for learning nonlinear tasks
Damiem Rolon-Mérette, Thaddé Rolon-Mérette, Sylvain Chartier

MI-DAGSC: A domain adaptation approach incorporating comprehensive information from MI-EEG signals
Dongxue Zhang, Huiying Li, Jingmeng Xie, Dajun Li

A large-scale neurocomputational model of spatial cognition integrating memory with vision
Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ülo Dinkelbach, ... Fred H. Hamker

Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography

Visual-quality-driven unsupervised image dehazing
Aiping Yang, Yumeng Liu, Jinbin Wang, Xiaoxiao Li, ... Yanwei Pang

Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification
Guangfei Li, Quanxue Gao, Ming Yang, Xinbo Gao

ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation
Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He

Cross-domain policy adaptation with dynamics alignment
Haiyuan Gui, Shanchen Pang, Shihang Yu, Sibo Qiao, ... Xue Zhai

Structure-aware deep clustering network based on contrastive learning
Bowei Chen, Sen Xu, Heyang Xu, Xuesheng Bian, ... Xiaopeng Hua

Graph embedding based multi-label Zero-shot Learning
Haigang Zhang, Xianglong Meng, Weipeng Cao, Ye Liu, ... Jinfeng Yang

Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks
Indro Spinelli, Riccardo Bianchini, Simone Scardapane

HMM-GDAN: Hybrid multi-view and multi-scale graph duplex-attention networks for drug response prediction in cancer
Youfa Liu, Shufan Tong, Yongyong Chen

Self-supervised contrastive graph representation with node and graph augmentation
Haoran Duan, Cheng Xie, Bin Li, Peng Tang

Learning domain invariant representations by joint Wasserstein distance minimization
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, ... Grégoire Montavon

Bridged adversarial training
Hoki Kim, Woojin Lee, Sungyoon Lee, Jaewook Lee

Bidirectionally self-normalizing neural networks
Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan

Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot
Yanbin Zhang, Mathias Thor, Nat Dilokthanakul, Zhendong Dai, Poramate Manoonpong

Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details
Sanket Jantre, Shrijita Bhattacharya, Tapabrata Maiti

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems
Danyu Lin, Shan Xue, Derong Liu, Mingming Liang, Yonghua Wang

Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection
Sohaib Asif, Ming Zhao, Fengxiao Tang, Yusen Zhu, Baokang Zhao

Learning dynamic spatial-temporal regularized correlation filter tracking with response deviation suppression via multi-feature fusion
Sathishkumar Moorthy, Young Hoon Joo

Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data
Qinghua Zhou, Shuihua Wang, Hengde Zhu, Xin Zhang, Yudong Zhang

A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations
Amr Farahat, Felix Effenberger, Martin Vinck

Information theory-guided heuristic progressive multi-view coding
Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng

Word self-update contrastive adversarial networks for text-to-image synthesis
Jian Xiao, Yiwen Sun, Xiaojun Bi

Information theoretic perspective on sample complexity
Deborah Pereg

LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning
Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu

Communication-efficient federated learning with stagewise training strategy
Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, ... Enhong Chen

CollectiveNet-AltSpec: A collective concurrent CNN architecture of alternate specifications for EEG media perception and emotion tracing aided by multi-domain feature-augmentation
Parham Faraji, Mohammad Bagher Khodabakhshi

DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters
Laszlo Papp, David Haberl, Boglarka Ecsedi, Clemens P. Spielvogel, ... Wolfgang Drexler

Glimpse and focus: Global and local-scale graph convolution network for skeleton-based action recognition
Xuehao Gao, Shaoyi Du, Yang Yang

On exploring node-feature and graph-structure diversities for node drop graph pooling
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, ... Tongliang Liu

MPCNet: Compressed multi-view video restoration via motion-parallax complementation network
Chang Wu, Gang He, Xinquan Lai, Yunsong Li

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning
Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, ... Jiajun Bu

Causal multi-label learning for image classification
Yingjie Tian, Kunlong Bai, Xiaotong Yu, Siyu Zhu

Contrastive self-representation learning for data clustering
Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang

Improving Differentiable Architecture Search via self-distillation
Xunyu Zhu, Jian Li, Yong Liu, Weiping Wang

Switching ETM-based neural adaptive output feedback control for nonaffine stochastic MIMO nonlinear systems subject to deferred constraint
Xiaona Song, Peng Sun, Choon Ki Ahn, Shuai Song

Boosting adversarial robustness via self-paced adversarial training
Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, ... Zenglin Xu

An adaptive embedding procedure for time series forecasting with deep neural networks
Federico Succetti, Antonello Rosato, Massimo Panella

A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data
Xi Zhou, Wei Xiang, Tao Huang

Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games
Jiangyu Wang, Ding Wang, Xin Li, Junfei Qiao

Sparse discriminant PCA based on contrastive learning and class-specificity distribution
Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao

A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images
Wei Chen, Chen Li, Dan Chen, Xin Luo

Addressing implicit bias in adversarial imitation learning with mutual information
Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang

Spiking neural P systems with lateral inhibition
Yuping Liu, Yuzhen Zhao

Finite/fixed-time synchronization of inertial memristive neural networks by interval matrix method for secure communication
Fei Wei, Guici Chen, Zhigang Zeng, Nallappan Gunasekaran

Chaos and multi-layer attractors in asymmetric neural networks coupled with discrete fractional memristor
Shaobo He, D. Vignesh, Lamberto Rondoni, Santo Banerjee

Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions
Rui Luo, Zhinan Peng, Jiangping Hu, Bijoy Kumar Ghosh

Visual question generation for explicit questioning purposes based on target objects
Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai, Qing Li

Novel results on asymptotic stability and synchronization of fractional-order memristive neural networks with time delays: The 0 < delta <= 1 case
Jia-Rui Zhang, Jun-Guo Lu, Xiao-Chuang Jin, Xing-Yu Yang

Sampled-data exponential consensus of multi-agent systems with Lipschitz nonlinearities
Wenqing Zhao, Guoliang Chen, Xiangpeng Xie, Jianwei Xia, Ju H. Park

A varying-parameter fixed-time gradient-based dynamic network for convex optimization
Dan Wang, Xin-Wei Liu

Measuring multivariate phase synchronization with symbolization and permutation
Zhaohui Li, Xinyan Wang, Yanyu Xing, Xi Zhang, ... Xiaoli Li

Spatial oblivion channel attention targeting intra-class diversity feature learning
Honggui Han, Qiyu Zhang, Fangyu Li, Yongping Du

Distorted image classification using neural activation pattern matching loss
Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno

Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet
Ali Kashefi, Tapan Mukerji

Event fusion photometric stereo network
Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim

ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation
Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, ... Chunxu Zhang

Conditioned Cooperative training for semi-supervised weapon detection
Jose L. Salazar González, Juan A. Álvarez-García, Fernando J. Rendón-Segador, Fabio Carrara

PEPNet: A barotropic primitive equations-based network for wind speed prediction
Rui Ye, Baoquan Zhang, Xutao Li, Yunming Ye

A scalable second order optimizer with an adaptive trust region for neural networks
Donghee Yang, Junhyun Cho, Sungchul Lee

Adv-BDPM: Adversarial attack based on Boundary Diffusion Probability Model
Dian Zhang, Yunwei Dong

Efficient and accurate compound scaling for convolutional neural networks
Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, ... Zhenyi Wang

Mathematical expression recognition using a new deep neural model
Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani, Alireza Darvishy, Hans-Peter Hutter

Subspace distillation for continual learning
Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi

Adversarial attacks and defenses using feature-space stochasticity
Jumpei Ukita, Kenichi Ohki

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20231018/f87fbb1d/attachment.html>